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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Systems Thinking Leverage Points |  Business Strategy Business Model Stress Test |  Operations Change Analysis |
|---|---|---|---|---|
Purposedifferent | When systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable. | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. | A Business Model Stress Test checks how well a business model holds up under pressure and headwinds. It compares strengths, risks, market logic, and courses of action. The result is captured as a stress-test report and action plan per scenario. | For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. |
Complexitydifferent | Medium | High | High | Medium |
Timedifferent | 30-240 min | Half day | Half day | 45-120 min |
Participantsdifferent | 1-6 | 3-12 | 3-8 | 2-6 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Leverage Map, Action Strategy | Stress Test Report, Action Plan per Scenario | Change Matrix, Cause Hypotheses, Validation Questions, Action List |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | Systems thinkingChangeStrategy | StrategyBusiness modelRiskDiagnosis | ChangeRoot causeTroubleshootingComparison |